We are excited to welcome Kamran Binaee as a joint postdoc between our lab and the Self-Motion Lab at UNR! Kamran is coming to us from Gabriel Diaz’ lab at RIT, and will be working on the Visual Experience Database (#vedb).
We are very excited to announce that in collaboration with colleagues at Bates College (Michelle Greene), North Dakota State University (Ben Balas), and UN Reno (Paul MacNeilage) our lab has been awarded an NSF EPSCoR Track II Grant to fund the creation of a Visual Experience Database (#vedb). The intent of this project is to capture a dataset of head-mounted video with eye tracking that is representative of what humans see on a day-to-day basis. We will ultimately share this data freely through an online database, including video with eye position, head position, and many other annotations. The aim is to sample hundreds of people going about the tasks (and idle moments) that constitute their daily lives. We hope the data will be useful for addressing many questions about human eye movements and perception, and that it will lead to a better understanding of the natural statistics of the human visual diet. Stay tuned for updates!
Welcome to Matthew Shinkle, who is starting his PhD work in the lab this summer!
The lab is seeking a postdoctoral researcher. The position is available as soon as June 2019, and will be available until filled. Funding is available for two years, with extension possible depending on the evolving funding situation. The lab uses a combination of fMRI, psychophysics, and cutting-edge computational modeling to study how information about objects, bodies, and scenes is represented in the brain. See the Research page on this site for more information about ongoing projects.
The formal job announcement can be found here; please look there for required qualifications. Briefly – since the lab is strongly computationally focused, experience writing code (in python, Matlab, R, C++, or equivalent languages) is mandatory. Lab work is principally carried out in a Linux environment and in python; experience with both is strongly preferred. Specific experience with machine learning techniques (regression analysis, classification, dimensionality reduction, deep neural networks), image processing, and/or graphics is also a plus. Researchers with experience in 3D graphics (Blender, Maya, Unreal Engine 4, etc) and an interest in the brain, even if they do not have experience with fMRI or neuroscience, are encouraged to apply.
Potential postdocs should contact Dr. Lescroart directly, and send a current CV and contact information for two references.